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--- |
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license: mit |
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tags: |
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- prompt |
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- gpt |
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- persona |
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datasets: |
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- fka/awesome-chatgpt-prompts |
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--- |
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# Streaming Inference |
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```python |
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from unsloth import FastLanguageModel |
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max_seq_length = 2048 |
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dtype = None # None for auto detection. Float16 for Tesla T4, V100, Bfloat16 for Ampere+ |
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load_in_4bit = True |
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model, tokenizer = FastLanguageModel.from_pretrained( |
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model_name = "imranali291/gpt-base-prompt-generator", |
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max_seq_length = max_seq_length, |
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dtype = dtype, |
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load_in_4bit = load_in_4bit, |
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) |
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FastLanguageModel.for_inference(model) # Enable native 2x faster inference |
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messages = [ |
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{"role": "user", "content": "php developer"}, |
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] |
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inputs = tokenizer.apply_chat_template( |
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messages, |
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tokenize = True, |
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add_generation_prompt = True, # Must add for generation |
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return_tensors = "pt", |
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).to("cuda") |
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from transformers import TextStreamer |
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text_streamer = TextStreamer(tokenizer) |
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_ = model.generate(input_ids = inputs, streamer = text_streamer, max_new_tokens = 128, use_cache = True) |
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``` |
